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      Stepwise shifts underlie evolutionary trends in morphological complexity of the mammalian vertebral column

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          Abstract

          A fundamental concept in evolutionary biology is that life tends to become more complex through geologic time, but empirical examples of this phenomenon are controversial. One debate is whether increasing complexity is the result of random variations, or if there are evolutionary processes which actively drive its acquisition, and if these processes act uniformly across clades. The mammalian vertebral column provides an opportunity to test these hypotheses because it is composed of serially-repeating vertebrae for which complexity can be readily measured. Here we test seven competing hypotheses for the evolution of vertebral complexity by incorporating fossil data from the mammal stem lineage into evolutionary models. Based on these data, we reject Brownian motion (a random walk) and uniform increasing trends in favor of stepwise shifts for explaining increasing complexity. We hypothesize that increased aerobic capacity in non-mammalian cynodonts may have provided impetus for increasing vertebral complexity in mammals.

          Abstract

          The mammalian vertebral column has become more complex over evolutionary time. Here, Jones and colleagues use phylogenetic modelling to show that this complexity increased in stepwise shifts likely driven by adaptations for increased aerobic capacity.

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          TimeTree: a public knowledge-base of divergence times among organisms.

          Biologists and other scientists routinely need to know times of divergence between species and to construct phylogenies calibrated to time (timetrees). Published studies reporting time estimates from molecular data have been increasing rapidly, but the data have been largely inaccessible to the greater community of scientists because of their complexity. TimeTree brings these data together in a consistent format and uses a hierarchical structure, corresponding to the tree of life, to maximize their utility. Results are presented and summarized, allowing users to quickly determine the range and robustness of time estimates and the degree of consensus from the published literature. TimeTree is available at http://www.timetree.net
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            Phylogenetic Comparative Analysis: A Modeling Approach for Adaptive Evolution

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                Author and article information

                Contributors
                katrinajones@fas.harvard.edu
                spierce@oeb.harvard.edu
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                7 November 2019
                7 November 2019
                2019
                : 10
                : 5071
                Affiliations
                [1 ]ISNI 000000041936754X, GRID grid.38142.3c, Museum of Comparative Zoology and Department of Organismic and Evolutionary Biology, , Harvard University, ; 26 Oxford Street, Cambridge, MA 02138 USA
                [2 ]ISNI 0000 0001 0476 8496, GRID grid.299784.9, Integrative Research Center, Field Museum of Natural History, ; 1400 South Lake Shore Drive, Chicago, IL 60605-2496 USA
                Author information
                http://orcid.org/0000-0003-1088-0497
                http://orcid.org/0000-0003-0717-1841
                Article
                13026
                10.1038/s41467-019-13026-3
                6838112
                31699978
                a36921ed-7919-49cd-82c1-850e2f0f7f38
                © The Author(s) 2019

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 12 March 2019
                : 11 October 2019
                Funding
                Funded by: FundRef https://doi.org/10.13039/100003575, American Association of Anatomists (AAA);
                Award ID: NA
                Award Recipient :
                Funded by: American Association of Anatomists Postdoctoral Fellowship to KJ
                Categories
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                Custom metadata
                © The Author(s) 2019

                Uncategorized
                evolutionary theory,palaeontology
                Uncategorized
                evolutionary theory, palaeontology

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